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Design, secure, and deploy agentic AI systems that operate safely within enterprise environments. This role ensures intelligent agents function reliably, securely, and in alignment with organizational policies and compliance standards, combining advanced security engineering, threat modeling, and applied AI development.
Responsibilities
- Design, secure, and deploy agentic AI systems
- Ensure intelligent agents function reliably, securely, and in alignment with organizational policies and compliance standards
Requirements
- 8+ years of experience in cybersecurity engineering, application security, or cloud security
- Hands-on experience with LLMs, AI/ML pipelines, vector databases, and orchestration frameworks such as AutoGen, CrewAI, LangGraph, or similar
- Strong programming skills in Python
- Deep expertise in threat modeling, identity and access management (IAM), secure API design, and network segmentation
- Familiarity with adversarial machine learning, model robustness testing, data poisoning defenses, and model evaluation methodologies
- Experience deploying and securing workloads in AWS, Azure, or GCP environments
Qualifications
- 8+ years of experience in cybersecurity engineering, application security, or cloud security.
Nice to Have
- Experience with Java or C++
Skills
Python
*
AWS
*
Azure
*
Java
*
C++
*
IAM
*
LLMs
*
GCP
*
Langgraph
*
Vector Databases
*
Threat modeling
*
AutoGen
*
CrewAI
*
Network segmentation
*
AI/ML pipelines
*
Secure API design
*
Adversarial machine learning
*
Model robustness testing
*
Data poisoning defenses
*
Model evaluation methodologies
*
* Required skills
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